Etude de la diversité la nouveauté pertinence dans les systèmes de recommandation
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Date
2021
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Abstract
Recommender systems are an active research filed essentially in the domain of e-commerce, whereas the objective is to satisfy the users. The main task of a recommender system consists of modeling the users' behaviour by mining their past data to identify their preferences patterns, and recommending them the most interesting items. Such systems have known use in e-commerce, social media applications, and web personalizing.